Scikit-Learn & TensorFlow练习题问答第8章
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Why do we reduce a dataset's dimensionality? What are the primary motives and limitations of such a process?
A1:
Motivations:
- 为了提升后续训练算法的速度
- 通过可视化数据来获取关键特征的见解
- 为了节省存储空间类似于压缩
Drawbacks:
- Particular information may be lost, which could potentially diminish the performance of subsequent training algorithms.
- Serving its purpose, this method requires significant computational resources.
- Incurring some complexity, this approach increases complexity in your Machine Learning pipelines.
- The transformed features are frequently challenging to interpret and reconstruct.
Q2. Wh
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